The results are presented in Figure REF . Curves for the Dreamer, Curiosity and Random baselines are reverse-engineered from the original paper [1]}. In almost every task, using LBS is the best unsupervised exploration strategy. In several tasks, the data collected through LBS-driven exploration allows to outperform (e.g. Finger Turn) or learn faster (e.g. Pendulum Swingup) than the supervised Dreamer baseline, which has access to the environment rewards also for data collection.
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